iPhone 17
Geekbench AI Score
7990
Single Precision Score
15706
Half Precision Score
15646
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | eddi2001 |
| Upload Date | January 01 2026 09:43 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 17 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | Apple A19 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3641
677.1 IPS |
|
|
Image Classification (HP)
|
100% |
7212
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
6489
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4992
80.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8702
141.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9035
146.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18353
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
50449
58.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58089
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
3923
311.2 IPS |
|
|
Object Detection (HP)
|
100% |
7432
589.5 IPS |
|
|
Object Detection (Q)
|
93% |
6736
537.4 IPS |
|
|
Face Detection (SP)
|
100% |
9092
108.0 IPS |
|
|
Face Detection (HP)
|
100% |
18704
222.2 IPS |
|
|
Face Detection (Q)
|
100% |
14632
173.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15756
121.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33934
261.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
35235
275.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38415
49.4 IPS |
|
|
Style Transfer (HP)
|
100% |
90403
116.2 IPS |
|
|
Style Transfer (Q)
|
96% |
105725
136.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9190
339.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18497
683.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19130
706.4 IPS |
|
|
Text Classification (SP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6552
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6533
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4493
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5584
96.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5628
97.3 IPS |
